Search Climate Insights Directory

The research demonstrates that creating optimized portfolios of geographically diverse wind and solar sites significantly reduces power output variability compared to individual sites. In the modeled U.S. Midwest region for 2004, combined wind and solar portfolios achieved an average variability reduction of 55% below the average of individual sites. The study finds that a small subset of available sites is often sufficient to achieve most of these variability reductions. To manage remaining variability, the authors propose integrating responsive loads, energy storage via electric vehicles, and intelligent grid communications.

The research demonstrates that geographically distributing wind farms reduces the variability of power output and drastically decreases the frequency of zero-production periods compared to individual sites. Using 2004 data from the U.S. Midwest and Texas, the analysis shows that optimizing portfolios based on negative covariance between sites improves capacity credit and system reliability. The authors argue that this approach, combined with demand-side resources like plug-in vehicles and real-time load response, is essential for the transition to a next-generation utility capable of integrating significantly higher levels of intermittent renewables.